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e-book

Data Science in R - A Case Studies Approach to Computational Reasoning and Problem Solving (Cód: 9477275)

Nolan,Deborah; Duncan Temple Lang

Taylor & Francis (Livros Digitais)

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Data Science in R - A Case Studies Approach to Computational Reasoning and Problem Solving

R$255,00

Descrição

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions.

The book'apos;s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including:



Non-standard, complex data formats, such as robot logs and email messages
Text processing and regular expressions
Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth
Statistical methods, such as classification trees, k-nearest neighbors, and naïve Bayes
Visualization and exploratory data analysis
Relational databases and Structured Query Language (SQL)
Simulation
Algorithm implementation
Large data and efficiency


Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data.

Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers'apos; computational reasoning of real-world data analyses.

Características

Peso 0.00 Kg
Produto sob encomenda Não
Marca Taylor & Francis (Livros Digitais)
Número de Páginas 539 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 71572
Início da Venda 21/04/2015
Código do Formato Pdf
Cód. Barras 9781482234824
Ano da Publicação 2015
AutorNolan,Deborah; Duncan Temple Lang